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Using Modern Code to Simulate Brain Development: Interview with Lukas Breitweiser, Intern at CERN openlab

Lukas Breitweiser discusses the importance of applying modern code and parallel computing to drive scientific exploration and discoveries in the context of his CERN openlab internship.  An internsh

Authored by admin Last updated on 07/24/2016 - 16:38
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采访英特尔® 现代代码开发人员挑战赛特等奖获得者 Mathieu Gravey

Mathieu Gravey 介绍了他的英特尔® 现代代码开发人员挑战赛参赛之旅,以及获得奖品 — CERN openlab 实习机会的喜悦。 在参赛过程中,他将现代代码和基于英特尔至强处理器的并行计算应用于优化大脑模拟代码,并将其性能提升了高达 32,000%。 对于此次实习,他希望与世界顶尖的研究科学家合作实现生物和信息系统的融合。

Authored by tianhui s. Last updated on 07/24/2016 - 16:38
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Part 3: Expressing Parallelism with Vectors

Episode 3 of the “Hands-On Workshop (HOW) series on parallel programming and optimization with Intel architectures” introduces data parallelism and automatic vectorization.

Authored by Last updated on 07/24/2016 - 16:38
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Crash Course on Multi-Threading with OpenMP

Episode 4 of the hands-on workshop (HOW) series on parallel programming and optimization with Intel architectures introduces thread parallelism and the parallel framework OpenMP.

Authored by admin Last updated on 07/24/2016 - 16:38
Video

Think Parallel Modern Applications for Modern Hardware

HPC codes have used MPI and similar models to scale to multiple nodes, but increasingly parallelism is also required within a node, and even within a single core

Authored by admin Last updated on 07/24/2016 - 16:38
Video

Optimization of Multi-Threading in Intel® Architectures I

Episode 7 of the “Hands-On Workshop (HOW) series on parallel programming and optimization with Intel architectures” is Part 1 (of 2) of a series on the optimization of multi-threaded applications.

Authored by admin Last updated on 07/24/2016 - 16:38
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The Intel® VTune™ Amplifier XE and the Intel® Math Kernel Library

In Episode 10 of the “Hands-On Workshop (HOW) series on parallel programming and optimization with Intel® architectures” we present additional topics on optimization.

Authored by admin Last updated on 07/24/2016 - 16:38
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Blog post

游戏远程代码注入和动态连接库的使用

 

前提是已经用汇编语言对远程基址进行了成功的捕获。

在VC中,读取远程基址比较常用的方法有几种:可以采用hook钩子函数,也可采用windows API 远程进程函数对内存进行读取,然后获得远程进程在本机中的数据,并进行相关代码的注入,获取更高的执行效率。

比较常见的API函数:

Authored by lijie45655 Last updated on 07/24/2016 - 12:38
For more complete information about compiler optimizations, see our Optimization Notice.